Modelling needs an anti-copernican revolution! But make no mistake - this is a means to making modelling more, not less principled. With @mert_celikok @MurenaPierre @FCAI_fi @idsai_uom #TuringAIFellows https://www.frontiersin.org/articles/10.3389/frai.2023.1097891/full?&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_Artificial_Intelligence&id=1097891
Beginning of an AI-assisted virtual laboratory in synthetic biology. More about the #VAILab mission in general: https://www.techrxiv.org/articles/preprint/Virtual_Laboratories_Transforming_research_with_AI/20412540 . In collaboration with @FCAI_fi @turinginst @OfficialUoM and several companies, large and small. #TuringAIFellows
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RT @CSAalto
Read our story on how scientists from computer science and synthetic biology are working togethe…
https://twitter.com/CSAalto/status/1641322765381693442
(Engineering) design is a nice example of sequential decision making where the goals are initially unclear or evolving, and AI assistance needs new types of user models. We tell more in a perspective piece in AI Magazine, and AAAI paper @FCAI_fi #TuringAIFellows @idsai_uom
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RT @FCAI_fi
#AI-assistance can save a designer lots of effort - so what's the bottleneck? Communicating goals & keeping humans in the loop ➡️ our researchers are dev…
https://twitter.com/FCAI_fi/status/1632732904647172097
With @MikkolaPetrus , Julien Martinelli, Louis Filstroff @FCAI_fi #TuringAIFellows @idsai_uom
The first author Sebastiaan De Peuter does not follow twitter but is certainly wotrh talking with - I am proud of this paper, on Collaborative AI for design problems and sequential decision making more generally. @FCAI_fi #TuringAIFellows @idsai_uom
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RT @FCAI_fi
Sunday Feb. 12 at #AAAI23 in Washington: AI assistance + automation for solving sequential decision problems.
Paper: Zero-Shot Assistance in Sequential Decision Problems (@sami…
https://twitter.com/FCAI_fi/status/1623780021847355392
Human-in-the-loop assisted de novo molecular design: Simulated proof of concept that user modelling helps the designer direct a RL-based algorithm in molecular design. Collaboration with Ola Engkvist's s team. https://doi.org/10.1186/s13321-022-00667-8 @FCAI_fi @idsai_uom #TuringAIFellows
Doctoral student positions in my group @AaltoUniversity , Helsinki: Topics 10-14 https://hict.fi/open-positions/ DL Jan 29 . All these with collaboration options @FCAI_fi @idsai_uom #TuringAIFellows
Thank you Anirbit Mukherjee for hosting us in the invited session on Recent Developments in Learning Theory @CFECMStatistics ! With @HeinonenMarkus we reviewed the path From differential learning to diffusion models. @FCAI_fi @idsai_uom #TuringAIFellows 1/2